Model based enterprise simulation and analysis a pragmatic approach reducing the burden on experts

Vinay Kulkarni*, Tony Clark, Souvik Barat, Balbir Barn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

Modern enterprises are complex systems operating in highly dynamic environments. The time to respond to the various change drivers is short and the cost of incorrect decisions is prohibitively high. Modern enterprises tend to exist in silos leading to fragmented knowledge with little support available for composing the fragments. Current practice places a heavy burden on experts by requiring a quick and comprehensive solution. This paper proposes a model based approach to this problem in terms of a language to be used for enterprise simulation and analysis that is capable of integrating the ‘what’, ‘how’ and ‘why’ aspects of an enterprise. Possible implementation is also hinted.

Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling - ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Proceedings
PublisherSpringer
Pages3-12
Number of pages10
Volume8823
ISBN (Electronic)9783319122557
DOIs
Publication statusPublished - 2014
Event33rd International Conference on Conceptual Modeling, ER 2014 - Atlanta, United States
Duration: 27 Oct 201429 Oct 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8823
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference33rd International Conference on Conceptual Modeling, ER 2014
CountryUnited States
CityAtlanta
Period27/10/1429/10/14

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    Kulkarni, V., Clark, T., Barat, S., & Barn, B. (2014). Model based enterprise simulation and analysis a pragmatic approach reducing the burden on experts. In Advances in Conceptual Modeling - ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Proceedings (Vol. 8823, pp. 3-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8823). Springer. https://doi.org/10.1007/978-3-319-12256-4_1